Estimates of coefficients included in multiple regression models, and their significance, for Synechococcus spp., Microcystis aeruginosa, and Dolichospermum spp.

Linear regression models to predict disease durations and stool frequencies.

Satoru Hasegawa (822572)
Sae Goto (822573)
Hirokazu Tsuji (161923)
Tatsuya Okuno (153433)
Takashi Asahara (161918)
Koji Nomoto (161952)
Akihide Shibata (822574)
Yoshiro Fujisawa (822575)
Tomomi Minato (822576)
Akira Okamoto (58620)
Kinji Ohno (157798)
Masaaki Hirayama (505192)

November 2015

(A) Scatter plot of the actual and predicted disease durations. (B) Scatter plot of...

Model-averaged regression coefficients, standard errors, and 95% confidence limits used to estimate effects of predictors and precision of effects. Note that for each predictor, the regression coefficients are interpreted as describing deviations in parasitism rates from a reference category whose effect is subsumed into the intercept term of the statistical model. Thus, although we can compare parasitism rates of understory nesting species with ground nesting species (the reference category for nest location) using the model-averaged regression coefficients, we cannot use these coefficients to directly compare parasitism rates of understory and canopy nesters.

Holly L. Lutz (719044)
Wesley M. Hochachka (400287)
Joshua I. Engel (719045)
Jeffrey A. Bell (719046)
Vasyl V. Tkach (574842)
John M. Bates (717275)
Shannon J. Hackett (719047)
Jason D. Weckstein (719048)

April 2015

*Aquatic habitat was only included as a fixed effect for Plasmodium analysis, as zero indi...

Regression model parameter estimates of biochemical outcomes by maximum microcystin LR equivalent concentration.

Elizabeth D. Hilborn (436680)
Raquel M. Soares (436681)
Jerome C. Servaites (436682)
Alvima G. Delgado (436683)
Valéria F. Magalhães (436684)
Wayne W. Carmichael (356161)
Sandra M. F. O. Azevedo (436685)

July 2013

Regression model parameter estimates of biochemical outcomes by maximum microcystin LR equivalent...

Regression models for the three algal taxa.

Michio Fukushima (4715049)
Noriko Tomioka (2039185)
Tuantong Jutagate (609827)
Mikiya Hiroki (4715046)
Tomoyoshi Murata (754585)
Chatchai Preecha (4715043)
Piyathap Avakul (4715040)
Pisit Phomikong (609829)
Akio Imai (2039173)

December 2017

16S rDNA densities of (A) Synechococcus spp., (B) Microcystis aeruginosa, and (C) <...

Summaries of multiple regression analyses.

Jörg Müller (111948)
Valentin H. Klaus (111949)
Till Kleinebecker (111952)
Daniel Prati (73037)
Norbert Hölzel (111959)
Markus Fischer (111964)

December 2012

Summaries of multiple regressions of species richness of acrocarpous, pleurocarpous and all bryop...

Estimated coefficients (β), standard error (SE) and significance (p-value) for the most supported models for each species (ΔAIC≤2) (* averaged model when we obtained more than one most supported model [60]).

Clara Grilo (137312)
Joana Sousa (137315)
Fernando Ascensão (137318)
Hugo Matos (137321)
Inês Leitão (137323)
Paula Pinheiro (137326)
Monica Costa (137328)
João Bernardo (137330)
Dyana Reto (137332)
Rui Lourenço (137333)
Margarida Santos-Reis (137336)
Eloy Revilla (121208)

September 2012

Estimated coefficients (β), standard error (SE) and significance (p-value) for the most supported...

Model-averaged regression coefficients for all variables included as predictors of coefficient of skewness for a) T. chebula and b) Phyllanthus spp. populations, ranked in descending importance by the sum of AICc weights of candidate models including the variable under consideration.

Anita Varghese (703540)
Tamara Ticktin (703541)
Lisa Mandle (358181)
Snehlata Nath (703542)

March 2015

Variables in bold have model-averaged estimates whose 95% confidence intervals exclude zero. A po...

Multiple linear regression showing standardized coefficients from model averaging for final biomass and change in abundance in monoculture and five life-form treatments.

Jeremy Lundholm (251806)
Amy Heim (590711)
Stephanie Tran (590712)
Tyler Smith (590713)

June 2014

Multiple linear regression showing standardized coefficients from model averaging for final bioma...

Multiple regression model summaries and regression coefficients of the significant climate variables and when year added (if significant improvement to model).

Anna Bock (436202)
Tim H. Sparks (326309)
Nicole Estrella (326310)
Annette Menzel (326348)

July 2013

Multiple regression model summaries and regression coefficients of the significant climate variab...

Appendix A. Parameter estimates, significance level, and overall model statistics for 10 regression analyses used to calculate clearance rates of separate (clonal) Daphnia monocultures.

Chad W. Hargrave (2923044)
K. David Hambright (2923041)
Lawrence J. Weider (2923038)

August 2016

Parameter estimates, significance level, and overall model statistics for 10 regression analyses use...

Model-averaged regression coefficients for all variables included as predictors of proportion of saplings for a) T. chebula and b) Phyllanthus spp. populations, ranked in descending importance by the sum of AICc weights of candidate models including the variable under consideration.

Anita Varghese (703540)
Tamara Ticktin (703541)
Lisa Mandle (358181)
Snehlata Nath (703542)

March 2015

Variables in bold have model-averaged estimates whose 95% confidence intervals exclude zero.<...

Dry season and wet season average coefficients and variable importance.

Kathleen A. Alexander (749695)
Alexandra K. Heaney (5945885)
Jeffrey Shaman (252813)

November 2018

(A) Summary of multimodel inference predicting under-5 diarrhea. The rows of the tables represent ea...

Plots showing the combined effect of the linear and nonparametric contributions for each important environmental factor on MC production by Microcystis spp. from recruitment period of Microcystis to bloom seasons of the GAMs run for A) the present study (R2 is the product of standardized F-statistics of each factor and R-squares of the whole model) and B) previous data.

Min Tao (143985)
Ping Xie (112003)
Jun Chen (4238)
Boqiang Qin (331589)
Dawen Zhang (331590)
Yuan Niu (293188)
Meng Zhang (154027)
Qing Wang (27728)
Laiyan Wu (331593)

February 2013

Plots showing the combined effect of the linear and nonparametric contributions for each importan...

Multiple logistic regression analysis for factors associated with prevalent cases of porcine cysticercosis.

Alberto Pondja (253672)
Luís Neves (253674)
James Mlangwa (253676)
Sónia Afonso (253677)
José Fafetine (253680)
Arve Lee Willingham III (253686)
Stig Milan Thamsborg (253694)
Maria Vang Johansen (253698)

February 2013

Multiple logistic regression analysis for factors associated with prevalent cases of porcine cyst...

Summary of a multiple regression model showing effects of density and species on aggregation index (R).

Ratna Ghosal (498554)
Peter X. Xiong (2825504)
Peter W. Sorensen (657461)

June 2016

Summary of a multiple regression model showing effects of density and species on aggregation inde...

Linear regression models to predict disease durations and stool frequencies.

Satoru Hasegawa (822572)
Sae Goto (822573)
Hirokazu Tsuji (161923)
Tatsuya Okuno (153433)
Takashi Asahara (161918)
Koji Nomoto (161952)
Akihide Shibata (822574)
Yoshiro Fujisawa (822575)
Tomomi Minato (822576)
Akira Okamoto (58620)
Kinji Ohno (157798)
Masaaki Hirayama (505192)

November 2015

(A) Scatter plot of the actual and predicted disease durations. (B) Scatter plot of...

Model-averaged regression coefficients, standard errors, and 95% confidence limits used to estimate effects of predictors and precision of effects. Note that for each predictor, the regression coefficients are interpreted as describing deviations in parasitism rates from a reference category whose effect is subsumed into the intercept term of the statistical model. Thus, although we can compare parasitism rates of understory nesting species with ground nesting species (the reference category for nest location) using the model-averaged regression coefficients, we cannot use these coefficients to directly compare parasitism rates of understory and canopy nesters.

Holly L. Lutz (719044)
Wesley M. Hochachka (400287)
Joshua I. Engel (719045)
Jeffrey A. Bell (719046)
Vasyl V. Tkach (574842)
John M. Bates (717275)
Shannon J. Hackett (719047)
Jason D. Weckstein (719048)

April 2015

*Aquatic habitat was only included as a fixed effect for Plasmodium analysis, as zero indi...

Regression model parameter estimates of biochemical outcomes by maximum microcystin LR equivalent concentration.

Elizabeth D. Hilborn (436680)
Raquel M. Soares (436681)
Jerome C. Servaites (436682)
Alvima G. Delgado (436683)
Valéria F. Magalhães (436684)
Wayne W. Carmichael (356161)
Sandra M. F. O. Azevedo (436685)

July 2013

Regression model parameter estimates of biochemical outcomes by maximum microcystin LR equivalent...

Regression models for the three algal taxa.

Michio Fukushima (4715049)
Noriko Tomioka (2039185)
Tuantong Jutagate (609827)
Mikiya Hiroki (4715046)
Tomoyoshi Murata (754585)
Chatchai Preecha (4715043)
Piyathap Avakul (4715040)
Pisit Phomikong (609829)
Akio Imai (2039173)

December 2017

16S rDNA densities of (A) Synechococcus spp., (B) Microcystis aeruginosa, and (C) <...

Summaries of multiple regression analyses.

Jörg Müller (111948)
Valentin H. Klaus (111949)
Till Kleinebecker (111952)
Daniel Prati (73037)
Norbert Hölzel (111959)
Markus Fischer (111964)

December 2012

Summaries of multiple regressions of species richness of acrocarpous, pleurocarpous and all bryop...

Estimated coefficients (β), standard error (SE) and significance (p-value) for the most supported models for each species (ΔAIC≤2) (* averaged model when we obtained more than one most supported model [60]).

Clara Grilo (137312)
Joana Sousa (137315)
Fernando Ascensão (137318)
Hugo Matos (137321)
Inês Leitão (137323)
Paula Pinheiro (137326)
Monica Costa (137328)
João Bernardo (137330)
Dyana Reto (137332)
Rui Lourenço (137333)
Margarida Santos-Reis (137336)
Eloy Revilla (121208)

September 2012

Estimated coefficients (β), standard error (SE) and significance (p-value) for the most supported...

Model-averaged regression coefficients for all variables included as predictors of coefficient of skewness for a) T. chebula and b) Phyllanthus spp. populations, ranked in descending importance by the sum of AICc weights of candidate models including the variable under consideration.

Anita Varghese (703540)
Tamara Ticktin (703541)
Lisa Mandle (358181)
Snehlata Nath (703542)

March 2015

Variables in bold have model-averaged estimates whose 95% confidence intervals exclude zero. A po...

Multiple linear regression showing standardized coefficients from model averaging for final biomass and change in abundance in monoculture and five life-form treatments.

Jeremy Lundholm (251806)
Amy Heim (590711)
Stephanie Tran (590712)
Tyler Smith (590713)

June 2014

Multiple linear regression showing standardized coefficients from model averaging for final bioma...

Multiple regression model summaries and regression coefficients of the significant climate variables and when year added (if significant improvement to model).

Anna Bock (436202)
Tim H. Sparks (326309)
Nicole Estrella (326310)
Annette Menzel (326348)

July 2013

Multiple regression model summaries and regression coefficients of the significant climate variab...

Appendix A. Parameter estimates, significance level, and overall model statistics for 10 regression analyses used to calculate clearance rates of separate (clonal) Daphnia monocultures.

Chad W. Hargrave (2923044)
K. David Hambright (2923041)
Lawrence J. Weider (2923038)

August 2016

Parameter estimates, significance level, and overall model statistics for 10 regression analyses use...

Model-averaged regression coefficients for all variables included as predictors of proportion of saplings for a) T. chebula and b) Phyllanthus spp. populations, ranked in descending importance by the sum of AICc weights of candidate models including the variable under consideration.

Anita Varghese (703540)
Tamara Ticktin (703541)
Lisa Mandle (358181)
Snehlata Nath (703542)

March 2015

Variables in bold have model-averaged estimates whose 95% confidence intervals exclude zero.<...

Dry season and wet season average coefficients and variable importance.

Kathleen A. Alexander (749695)
Alexandra K. Heaney (5945885)
Jeffrey Shaman (252813)

November 2018

(A) Summary of multimodel inference predicting under-5 diarrhea. The rows of the tables represent ea...

Plots showing the combined effect of the linear and nonparametric contributions for each important environmental factor on MC production by Microcystis spp. from recruitment period of Microcystis to bloom seasons of the GAMs run for A) the present study (R2 is the product of standardized F-statistics of each factor and R-squares of the whole model) and B) previous data.

Min Tao (143985)
Ping Xie (112003)
Jun Chen (4238)
Boqiang Qin (331589)
Dawen Zhang (331590)
Yuan Niu (293188)
Meng Zhang (154027)
Qing Wang (27728)
Laiyan Wu (331593)

February 2013

Plots showing the combined effect of the linear and nonparametric contributions for each importan...

Multiple logistic regression analysis for factors associated with prevalent cases of porcine cysticercosis.

Alberto Pondja (253672)
Luís Neves (253674)
James Mlangwa (253676)
Sónia Afonso (253677)
José Fafetine (253680)
Arve Lee Willingham III (253686)
Stig Milan Thamsborg (253694)
Maria Vang Johansen (253698)

February 2013

Multiple logistic regression analysis for factors associated with prevalent cases of porcine cyst...

Summary of a multiple regression model showing effects of density and species on aggregation index (R).

Ratna Ghosal (498554)
Peter X. Xiong (2825504)
Peter W. Sorensen (657461)

June 2016

Summary of a multiple regression model showing effects of density and species on aggregation inde...

Linear regression models to predict disease durations and stool frequencies.

Satoru Hasegawa (822572)
Sae Goto (822573)
Hirokazu Tsuji (161923)
Tatsuya Okuno (153433)
Takashi Asahara (161918)
Koji Nomoto (161952)
Akihide Shibata (822574)
Yoshiro Fujisawa (822575)
Tomomi Minato (822576)
Akira Okamoto (58620)
Kinji Ohno (157798)
Masaaki Hirayama (505192)

November 2015

(A) Scatter plot of the actual and predicted disease durations. (B) Scatter plot of...

Model-averaged regression coefficients, standard errors, and 95% confidence limits used to estimate effects of predictors and precision of effects. Note that for each predictor, the regression coefficients are interpreted as describing deviations in parasitism rates from a reference category whose effect is subsumed into the intercept term of the statistical model. Thus, although we can compare parasitism rates of understory nesting species with ground nesting species (the reference category for nest location) using the model-averaged regression coefficients, we cannot use these coefficients to directly compare parasitism rates of understory and canopy nesters.

Holly L. Lutz (719044)
Wesley M. Hochachka (400287)
Joshua I. Engel (719045)
Jeffrey A. Bell (719046)
Vasyl V. Tkach (574842)
John M. Bates (717275)
Shannon J. Hackett (719047)
Jason D. Weckstein (719048)

April 2015

*Aquatic habitat was only included as a fixed effect for Plasmodium analysis, as zero indi...

Regression model parameter estimates of biochemical outcomes by maximum microcystin LR equivalent concentration.

Elizabeth D. Hilborn (436680)
Raquel M. Soares (436681)
Jerome C. Servaites (436682)
Alvima G. Delgado (436683)
Valéria F. Magalhães (436684)
Wayne W. Carmichael (356161)
Sandra M. F. O. Azevedo (436685)

July 2013

Regression model parameter estimates of biochemical outcomes by maximum microcystin LR equivalent...

Estimates of coefficients included in multiple regression models, and their significance, for <i>Synechococcus</i> spp., <i>Microcystis aeruginosa</i>, and <i>Dolichospermum</i> spp.

Abstract

Extracted data

Estimates of coefficients included in multiple regression models, and their significance, for <i>Synechococcus</i> spp., <i>Microcystis aeruginosa</i>, and <i>Dolichospermum</i> spp.

Abstract

Extracted data

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